Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

MiMo-V2-OmniXiaomi Remove
Transcribe 1 ProFish Audio Remove
Gemini 3.5 TranscribeGoogle Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

mimo-v2-omni vs transcribe-1-pro vs gemini-3.5-transcribe vs perceptron-mk1.5
Attribute	MiMo-V2-Omnimimo-v2-omni	Transcribe 1 Protranscribe-1-pro	Gemini 3.5 Transcribegemini-3.5-transcribe	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0.40 / 1M	— Not priced per input token	— Not priced per input token	$0.15 / 1M
Output	$2.00 / 1M	— Not priced per output token	— Not priced per output token	$1.50 / 1M
Cache Write (5m)	$0.40 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Write (1h)	$0.40 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Read	$0.40 / 1M	Not applicable	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	262.1K	N/A	98.3K	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	No
Function Calling	Yes	No	Yes	No
JSON Mode	Yes	No	No	No
Streaming	Yes	No	No	Yes
Catalogue
Provider	Xiaomi	Fish Audio	Google	Perceptron
Category	chat	voice	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-09-24	2026-09-25	2026-09-25
Description
Summary	MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with advanced agentic capabilities, including visual grounding, multi-step planning, tool use, and code execution. With a 256K context window, MiMo-V2-Omni is well suited for complex real-world tasks that span multiple modalities, enabling integrated reasoning and execution across diverse input types.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.